Potential plant species distribution in the Yellow River Delta under the influence of groundwater level and soil salinity
文献类型:期刊论文
作者 | Fan, Xiaomei1,2; Pedroli, Bas3; Liu, Gaohuan1![]() |
刊名 | ECOHYDROLOGY
![]() |
出版日期 | 2011-11-01 |
卷号 | 4期号:6页码:744-756 |
关键词 | Groundwater-dependent Ecosystem Detrended Canonical Correspondence Analysis General Linear Model Visual Modflow Spatial Analysis Degradation Fragmentation |
文献子类 | Article |
英文摘要 | This article describes a multidisciplinary approach to assessing potential vegetation types. The relation between vegetation distribution as derived from field survey and habitat characteristics in the Yellow River Delta (YRD) was analyzed using detrended canonical correspondence analysis (DCCA). The three-dimensional groundwater numerical simulation model MODFLOW yielded an accurate distribution of the shallow groundwater table within the study area. Groundwater table and soil salinity appeared to have the largest influence on the distribution patterns of specific indicator species. The quantitative relationships between species presence and environmental factors were further explored using logistic regression, allowing for the prediction of potential species distribution in relation to fluctuations in groundwater depth and soil salinity. Based on this, potential distribution maps for specific plant species and their communities were generated using ArcGIS. The potential vegetation map was compared to the actual vegetation map (interpreted from SPOT imagery), which leads to a discussion of the main factors responsible for fragmentation and degradation of the local vegetation system. Copyright (C) 2010 John Wiley & Sons, Ltd. |
WOS关键词 | CANONICAL CORRESPONDENCE-ANALYSIS ; ENVIRONMENTAL-FACTORS ; OLIFANTS-ESTUARY ; SOUTH-AFRICA ; VEGETATION ; PATTERNS ; ECOLOGY ; MODELS |
语种 | 英语 |
WOS记录号 | WOS:000297205200002 |
出版者 | WILEY-BLACKWELL |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/68035] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Liu, Gaohuan |
作者单位 | 1.CAS, LREIS Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing, Nanjing 210044, Peoples R China 3.Wageningen Univ, Landscape Ctr, NL-6700 AA Wageningen, Netherlands 4.CAS, LRSDM Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 5.Hohai Univ, Coll Water Resources & Environm, Nanjing 210098, Peoples R China |
推荐引用方式 GB/T 7714 | Fan, Xiaomei,Pedroli, Bas,Liu, Gaohuan,et al. Potential plant species distribution in the Yellow River Delta under the influence of groundwater level and soil salinity[J]. ECOHYDROLOGY,2011,4(6):744-756. |
APA | Fan, Xiaomei,Pedroli, Bas,Liu, Gaohuan,Liu, Hongguang,Song, Chuangye,&Shu, Longcang.(2011).Potential plant species distribution in the Yellow River Delta under the influence of groundwater level and soil salinity.ECOHYDROLOGY,4(6),744-756. |
MLA | Fan, Xiaomei,et al."Potential plant species distribution in the Yellow River Delta under the influence of groundwater level and soil salinity".ECOHYDROLOGY 4.6(2011):744-756. |
入库方式: OAI收割
来源:地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。